Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Hefei, China (Mainland)
University of Science and Technology of China
University of Science and Technology of China is listed as QS 2026 rank =132. University of Science and Technology of China has 5 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Science and Technology of China is listed as QS 2026 rank =132. University of Science and Technology of China has 5 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Science and Technology of China as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-science-and-technology-of-china.json. The entity-level confidence is 97%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Research claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
University of Science and Technology of China has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
University of Science and Technology of China has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of Science and Technology of China has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
University of Science and Technology of China has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Science and Technology of China has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
5 reviewed evidence-backed public claim
Research
For 2026 NSFC applications submitted through USTC, the university notice prohibits using an application directly generated by generative AI and prohibits using unverified generated content.
Review: Agent reviewed
Normalized value: nsfc_application_direct_genai_draft_and_unverified_content_prohibited
Original evidence
Evidence 1不得使用由生成式人工智能直接生成的申请书，不得使用未经核实的生成内容。
Localized display only
The notice prohibits directly AI-generated applications and unverified generated content.
Research
For 2026 NSFC applications submitted through USTC, the university notice says applicants who use generative AI to track research trends or collect and organize references must manually verify the truth and accuracy of generated information and references, take responsibility for generated content, and fully and truthfully declare AI use.
Review: Agent reviewed
Normalized value: nsfc_application_genai_verification_and_disclosure
Original evidence
Evidence 1申请人在撰写申请书时，如果借助生成式人工智能技术跟踪研究动态、收集整理参考文献，必须由人工核实生成式人工智能生成信息和参考文献的真实性和准确性。申请人应当对使用的生成内容负责，应当全面如实声明使用情况，按照《人工智能生成合成内容标识办法》《负责任研究行为规范指引（2023）》等国家有关规定对相关内容进行标识。
Localized display only
The NSFC application notice requires human verification, responsibility for generated content, truthful declaration, and labeling when applicants use generative AI for research-trend tracking or references.
Teaching
For smart-course projects under USTC's 2026 undergraduate teaching-project guide, completion standards include at least two online teaching cycles and mandatory AI learning or teaching support plus knowledge-graph functions, with two additional optional digital or AI functions.
Review: Agent reviewed
Normalized value: smart_course_ai_functions_completion_standard
Original evidence
Evidence 1建设期内，课程至少基于线上课程平台开设2个教学周期，实现“必选功能2项+自选功能2项”： ①必选功能包括：AI助学或助教、知识图谱。②自选功能包括：数字教材、数字人、智能批改、智能备课、智能翻译、AI教学管理、能力图谱、素质图谱等。
Localized display only
The smart-course standard requires two online teaching cycles and specific AI/digital functions, including AI learning or teaching support.
Teaching
USTC's 2026 undergraduate teaching-project guide encourages new-course projects to integrate AI technologies with core professional competencies and to include AI application techniques, cases, and practical training in lectures and practice teaching.
Review: Agent reviewed
Normalized value: new_courses_encourage_ai_integration
Original evidence
Evidence 14.鼓励将人工智能技术与专业核心能力培养紧密结合，支持在课程讲授与实践教学中系统融入 AI应用技术、典型案例与实操训练，推动人工智能赋能专业教学改革，提升课程高阶性、创新性与挑战度。
Localized display only
The new-course section encourages integrating AI technologies with core professional competencies and teaching practice.
Teaching
USTC's 2026 undergraduate teaching-project guide says AI plus virtual-simulation experiment teaching-course projects must have an AI technical specialist and implement at least two AI-enabled functions from the listed categories.
Review: Agent reviewed
Normalized value: ai_virtual_simulation_course_function_requirements
Original evidence
Evidence 1课程负责人须为本校专职教师，应主讲本实验课程2轮次以上；课程建设团队应结构合理、分工明确、素质优良，团队成员不超过5人（含课程负责人），且要有专门负责AI方面技术专家。以AI技术实现的功能包括但不限于以下内容，项目至少要实现2项功能：智能助学、学情画像、个性化任务生成、知识图谱构建、能力图谱生成。
Localized display only
The AI plus virtual-simulation course section requires an AI technical specialist and at least two AI-enabled functions.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
2 source attribution
2026 年度本科教学工程项目申报指南
teach.ustc.edu.cn
2026年度国家自然科学基金项目集中受理申请通知
ustc.edu.cn
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.